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Journal Articles
- 2017
[j8]William W. Lytton, Jeff Arle, Georgiy V. Bobashev, Songbai Ji, Tara L. Klassen, Vasilis Z. Marmarelis, James S. Schwaber
, Mohamed A. Sherif, Terence D. Sanger:
Multiscale modeling in the clinic: diseases of the brain and nervous system. Brain Informatics 4(4): 219-230 (2017)- [j7]Warren D. Anderson, Danielle DeCicco, James S. Schwaber, Rajanikanth Vadigepalli:
A data-driven modeling approach to identify disease-specific multi-organ networks driving physiological dysregulation. PLoS Comput. Biol. 13(7) (2017) - 2015
- [j6]Hirenkumar K. Makadia, James S. Schwaber, Rajanikanth Vadigepalli:
Intracellular Information Processing through Encoding and Decoding of Dynamic Signaling Features. PLoS Comput. Biol. 11(10) (2015) - 2010
- [j5]Gregory M. Miller, Babatunde A. Ogunnaike, James S. Schwaber, Rajanikanth Vadigepalli:
Robust dynamic balance of AP-1 transcription factors in a neuronal gene regulatory network. BMC Syst. Biol. 4: 171 (2010) - 2005
- [j4]Daniel E. Zak, Rajanikanth Vadigepalli, Gregory E. Gonye, Francis J. Doyle III, James S. Schwaber, Babatunde A. Ogunnaike:
Unconventional systems analysis problems in molecular biology: a case study in gene regulatory network modeling. Comput. Chem. Eng. 29(3): 547-563 (2005) - 2001
- [j3]Rajanikanth Vadigepalli, Francis J. Doyle III, James S. Schwaber:
Analysis and Neuronal Modeling of the Nonlinear Characteristics of a Local Cardiac Reflex in the Rat. Neural Comput. 13(10): 2239-2271 (2001) - [j2]David M. Rector, Robert F. Rogers, James S. Schwaber, Ronald M. Harper, John S. George:
Scattered-Light Imaging in Vivo Tracks Fast and Slow Processes of Neurophysiological Activation. NeuroImage 14(5): 977-994 (2001) - 1997
- [j1]Harpreet S. Kwatra, Francis J. Doyle III, Ilya A. Rybak, James S. Schwaber:
A Neuro-Mimetic Dynamic Scheduling Algorithm for Control: Analysis and Applications. Neural Comput. 9(3): 479-502 (1997)
Conference and Workshop Papers
- 2004
- [c6]Ronald K. Pearson, Tom Zylkin, James S. Schwaber, Gregory E. Gonye:
Analytical Evaluation of Clustering Results Using Computational Negative Controls. SDM 2004: 188-199 - 2001
- [c5]Daniel E. Zak, Francis J. Doyle III, Dionisios G. Vlachos, James S. Schwaber:
Stochastic kinetic analysis of transcriptional feedback models for circadian rhythms. CDC 2001: 849-854 - 2000
- [c4]Lyndon J. Brown, James S. Schwaber:
Identifying operating conditions from pre-weld information for resistance spot welding. ACC 2000: 1535-1539 - 1998
- [c3]Lyndon J. Brown, Gregory E. Gonye, James S. Schwaber:
Non-Linear PI Control Inspired by Biological Control Systems. NIPS 1998: 975-981 - 1995
- [c2]Ilya A. Rybak, Julian F. R. Paton, James S. Schwaber:
Modeling and Analysis of Some Neural Mechanisms for the Genesis and Control of Respiratory Pattern. IWANN 1995: 100-107 - 1990
- [c1]James S. Schwaber, Julian F. R. Paton, B. R. Due, K. M. Spyer, W. T. Rogers:
Reconstructing computational principles in a vertebrate adaptive reflex system. IJCNN 1990: 663-668
Coauthor Index
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